scholarly journals Context-Aware Community Construction in Proximity-Based Mobile Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Na Yu ◽  
Qi Han
Keyword(s):  
Social Networking ◽  
Mobile Devices ◽  
Mobile Networks ◽  
Context Aware ◽  
Two Phase ◽  
Space And Time ◽  
Shared Information ◽  
Influence Graph ◽  
Social Applications ◽  
Share Information

Sensor-equipped mobile devices have allowed users to participate in various social networking services. We focus on proximity-based mobile social networking environments where users can share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection and the space and time related to the shared information as the contexts. To model the potential information influences, we construct an influence graph by integrating the space and time contexts into the proximity-based contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.

Mobile Spatial Interaction and Mediated Social Navigation

2011 ◽  
pp. 2604-2608
Author(s):  
Mark Bilandzic ◽  
Marcus Foth
Keyword(s):  
Web 2.0 ◽  
Mobile Devices ◽  
Mobile Networks ◽  
Spatial Interaction ◽  
Value Added ◽  
Handheld Devices ◽  
Context Aware ◽  
Social Navigation ◽  
Global Positioning ◽  
Community Platforms

The increasing ubiquity of location and context-aware mobile devices and applications, geographic information systems (GIS) and sophisticated 3D representations of the physical world accessible by lay users is enabling more people to use and manipulate information relevant to their current surroundings (Scharl & Tochtermann, 2007). The relationship between users, their current geographic location and their devices are summarised by the term “mobile spatial interaction” (MSI), and stands for the emerging opportunities and affordances that location sensitive and Internet capable devices provide to its users. The first major academic event which coined the term in its current usage was a workshop on MSI (see http://msi.ftw.at/) at the CHI 2007 (Fröhlich et al., 2007). Mobile spatial interaction is grounded in a number of technologies that recently started to converge. First, the development of mobile networks and mobile Internet technologies enables people to request and exchange specific information from anywhere at anytime. Using their handheld devices people can, for example, check the latest news, request recent stock exchange values or communicate via mobile instant messaging. The second enabler is global positioning technology. Mobile devices with integrated Global Positioning System (GPS) receivers—soon to be joined by the Russian Global Navigation Satellite System (GLONASS) and the European Galileo system—are aware of their current latitude and longitude coordinates and can use this data as value added information for context-aware services, that is, mobile applications that refer to information relevant to the current location of the user. A possible use scenario for such an information request would be, for example, “find all clubs and pubs in a radius of 500 meters from my current position.” The focus of this work is to enrich the opportunities given by such location aware services with selected Web 2.0 design paradigms (Beer & Burrows, 2007; Kolbitsch & Maurer, 2006) toward mobile social networking services that are bound to specific physical places. User participation, folksonomy and geotagging are three design methods that have become popular in Web 2.0 community-platforms and proven to be effective information management tools for various domains (Casey & Savastinuk, 2007; Courtney, 2007; Macgregor & McCulloch, 2006). Applying such a design approach for a mobile information system creates a new experience of collaboration between mobile users, a step toward what Jaokar refers to as the Mobile Web 2.0 (Jaokar & Fish, 2006), that is, a chance for mediated social navigation in physical spaces.

scholarly journals Red de aprendizaje en web para dispositivos móviles

2021 ◽  
Vol 2 (2) ◽  
pp. 36-43
Author(s):  
S. Contreras Hernández ◽  
A. I. Muñoz Galicia
Keyword(s):  
Mobile Devices ◽  
Learning Activities ◽  
Network System ◽  
Access To Information ◽  
El Sistema ◽  
Shared Information ◽  
Share Information ◽  
Application Design

El proyecto consiste en el desarrollo de un sistema de red de usuarios para compartir información en el ámbito educativo. El diseño de la aplicación permite la interacción con ésta a través de una computadora de escritorio o de dispositivos móviles como tabletas o teléfonos inteligentes. La información compartida es generada por alumnos a través de las actividades de aprendizaje colocadas por el profesor del curso. Las clases son compartimentos accedidos por los usuarios inscritos, ya sean alumnos, profesores o administradores del curso. El sistema está desarrollado con tecnología que permite el acceso rápido a la información contenida en la bases de datos. The project involves the development of network system users, to share information in education. The application design enables interaction with it through desktop or mobile devices such as tablets or smartphones. The shared information is generated by students through learning activities arranged by the teacher. Classes are compartments accessed by registered users, whether students, teachers or administrators of the course. The system is developed with technology that allows quick access to information contained in database.  

scholarly journals Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
VanDung Nguyen ◽  
Tran Trong Khanh ◽  
Tri D. T. Nguyen ◽  
Choong Seon Hong ◽  
Eui-Nam Huh
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Computing System ◽  
Mobile User ◽  
Computation Offloading ◽  
Context Aware ◽  
Computing Systems ◽  
Iot Applications ◽  
Service Times

AbstractIn the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable service delays for various new applications, such as video streaming analysis and augmented reality, are challenges. Cloud computing systems, also known as a solution that offloads energy-consuming computation of IoT applications to a cloud server, cannot meet the delay-sensitive and context-aware service requirements. To address this issue, an edge computing system provides timely and context-aware services by bringing the computations and storage closer to the user. The dynamic flow of requests that can be efficiently processed is a significant challenge for edge and cloud computing systems. To improve the performance of IoT systems, the mobile edge orchestrator (MEO), which is an application placement controller, was designed by integrating end mobile devices with edge and cloud computing systems. In this paper, we propose a flexible computation offloading method in a fuzzy-based MEO for IoT applications in order to improve the efficiency in computational resource management. Considering the network, computation resources, and task requirements, a fuzzy-based MEO allows edge workload orchestration actions to decide whether to offload a mobile user to local edge, neighboring edge, or cloud servers. Additionally, increasing packet sizes will affect the failed-task ratio when the number of mobile devices increases. To reduce failed tasks because of transmission collisions and to improve service times for time-critical tasks, we define a new input crisp value, and a new output decision for a fuzzy-based MEO. Using the EdgeCloudSim simulator, we evaluate our proposal with four benchmark algorithms in augmented reality, healthcare, compute-intensive, and infotainment applications. Simulation results show that our proposal provides better results in terms of WLAN delay, service times, the number of failed tasks, and VM utilization.

A Normative Framework for Sharing Information Online

2021 ◽  
Author(s):  
Emily Sullivan ◽  
Mark Alfano
Keyword(s):  
Social Media ◽  
The Internet ◽  
Normative Framework ◽  
Current State ◽  
Shared Information ◽  
Technological Developments ◽  
State Of Affairs ◽  
Share Information

People have always shared information through chains and networks of testimony. It is arguably part of what makes us human and enables us to live in cooperative communities with populations greater than 150 or so. The invention of the internet and the rise of social media have turbocharged our ability to share information. This chapter develops a normative epistemic framework for sharing information online. This framework takes into account both ethical and epistemic considerations that are intertwined in typical cases of online testimony. The authors argue that, while the current state of affairs is not entirely novel, recent technological developments call for a rethinking of the norms of testimony, as well as the articulation of a set of virtuous dispositions that people would do well to cultivate in their capacity as conduits (not just sources or receivers) of information.

scholarly journals MASEMUL: A Simulation Tool for Movement-Aware MANET Scheduling Strategies for Multimedia Communications

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Moustafa M. Nasralla ◽  
Iván García-Magariño ◽  
Jaime Lloret
Keyword(s):  
Mobile Networks ◽  
Content Delivery ◽  
Multimedia Communications ◽  
Multimedia Traffic ◽  
Simulation Tool ◽  
Context Aware ◽  
Mobile Nodes ◽  
Multimedia Services ◽  
Agent Based ◽  
Common Strategy

The last decade has witnessed a steep growth in multimedia traffic due to real-time content delivery such as in online games and video conferencing. In some contexts, MANETs play a key role in the hyperconnectivity of everything in multimedia services. In this context, this work proposes a new scheduling approach based on context-aware mobile nodes for their connectivity. The contribution relies on reporting not only the locations of devices in the network but also their movement identified by sensors. In order to illustrate this approach, we have developed a novel agent-based simulator called MASEMUL for illustrating the proposed approach. The results show that a movement-aware scheduling strategy defined with the proposed approach has decreased the ratio of channel interruptions over another common strategy in mobile networks.

scholarly journals SURVEY PAPER ON WIFI COMMUNITY ON ANDROID PHONES

2016 ◽  
pp. 26-28
Author(s):  
NAMRATA PAWAR ◽  
SONALI CHIKHALE
Keyword(s):  
Social Networking ◽  
Social Interactions ◽  
Social Services ◽  
Instant Messaging ◽  
Social Contexts ◽  
Third Party ◽  
Application Development ◽  
Mobile Social Networking ◽  
Mobile Middleware ◽  
Share Information

With the development of wireless communication, the popularity of android phones, the increasing of social networking services, mobile social networking has become a hot research topic. Personal mobile devices have become ubiquitous and an inseparable part of our daily lives. These devices have evolved rapidly from simple phones and SMS capable devices to Smartphone’s and now with android phones that we use to connect, interact and share information with our social circles. The Smartphone’s are used for traditional two-way messaging such as voice, SMS, multimedia messages, instant messaging or email. Moreover, the recent advances in the mobile application development frameworks and application stores have encouraged third party developers to create a huge number of mobile applications that allow users to interact and share information in many novel ways. In this paper, we elaborate a flexible system architecture based on the service-oriented specification to support social interactions in campus-wide environments using Wifi. In the client side, we designed a mobile middleware to collect social contexts such as the messaging, creating group, accessing emails etc. The server backend, on the other hand, aggregates such contexts, analyses social connections among users and provides social services to facilitate social interactions. A prototype of mobile social networking system is deployed on campus, and several applications are implemented based on the proposed architecture to demonstrate the effectiveness of the architecture.

scholarly journals YAICD: Yet Another IMSI Catcher Detector in GSM

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Parimah Ziayi ◽  
Seyed Mostafa Farmanbar ◽  
Mohsen Rezvani
Keyword(s):  
Mobile Devices ◽  
Cellular Networks ◽  
Mobile Networks ◽  
Experimental Results ◽  
Lte Networks ◽  
Backward Compatibility ◽  
Man In The Middle ◽  
Base Transceiver Station ◽  
Gsm Network

In GSM, the network is not authenticated which allows for man-in-the-middle (MITM) attacks. Attackers can track traffic and trace users of cellular networks by creating a rogue base transceiver station (BTS). Such a defect in addition to the need for backward compatibility of mobile networks makes all GSM, UMTS, and LTE networks susceptible to MITMs. These attacks are conducted using IMSI-Catchers (ICs). Most of the solutions proposed for detecting ICs in the literature are based on using specific mobile devices with root access. Also, they cannot identify ICs to which users are not connected. In this paper, we propose an approach called YAICD for detecting ICs in the GSM network. YAICD consists of a sensor that can be installed on Android mobile devices. It detects ICs by extracting 15 parameters from signals received from BTSs. We also established a lab-scale testbed to evaluate YAICD for various detection parameters and for comparing it against existing solutions in the literature. The experimental results show that YAICD not only successfully detects ICs using the parameters but also identifies ICs to which users are not yet connected to the network.

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